Photorealistic Style Transfer with Screened Poisson Equation
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Abstract (arXiv)
Recent work has shown impressive success in transferring painterly style to images. These approaches, however, fall short of photorealistic style transfer. Even when both the input and reference images are photographs, the output still exhibits distortions reminiscent of a painting. In this paper we propose an approach that takes as input a stylized image and makes it more photorealistic. It relies on the Screened Poisson Equation, maintaining the fidelity of the stylized image while constraining the gradients to those of the original input image. Our method is fast, simple, fully automatic and shows positive progress in making a stylized image photorealistic. Our results exhibit finer details and are less prone to artifacts than the state-of-the-art.
Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). First posted on arXiv 28 Sep 2017.
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Citing papers per year: 2021: 1; 2022: 2; 2023: 4; 2024: 2.
9 papers.
- 2021Enhancing Photorealism Enhancementcited by 74
- 2023Transforming Radiance Field with Lipschitz Network for Photorealistic 3D Scene Stylizationcited by 14
- 2023Modernizing Old Photos Using Multiple References via Photorealistic Style Transfercited by 4
- 2024Evaluation in Neural Style Transfer: A Reviewcited by 4
- 2022Time-of-Day Neural Style Transfer for Architectural Photographscited by 3
- 2023Sem-CS: Semantic CLIPStyler for Text-Based Image Style Transfercited by 1
- 2022Image Style Transfer: from Artistic to Photorealisticcited by 0
- 2023SEM-CS: Semantic CLIPStyler for Text-Based Image Style Transfercited by 0
- 2024GIST: Towards Photorealistic Style Transfer via Multiscale Geometric Representationscited by 0
- 2024GIST: Towards Photorealistic Style Transfer via Multiscale Geometric Representations3 Dec 2024
- 2024Evaluation in Neural Style Transfer: A Review30 Jan 2024
- 2023Sem-CS: Semantic CLIPStyler for Text-Based Image Style Transfer12 Jul 2023
- 2023Modernizing Old Photos Using Multiple References via Photorealistic Style Transfer10 Apr 2023
- 2023Transforming Radiance Field with Lipschitz Network for Photorealistic 3D Scene Stylization23 Mar 2023
- 2023SEM-CS: Semantic CLIPStyler for Text-Based Image Style Transfer11 Mar 2023
- 2022Time-of-Day Neural Style Transfer for Architectural Photographs13 Sep 2022
- 2022Image Style Transfer: from Artistic to Photorealistic12 Mar 2022
- 2021Enhancing Photorealism Enhancement10 May 2021